David B. Dahl's research interests are
Bayesian nonparametrics, model-based clustering, random partition models, protein structure prediction, bioinformatics, and statistical computing.
His work has appeared in journals including the
Journal of the American Statistical Association,
Annals of Applied Statistics, and
Bayesian Analysis. He teaches both undergraduate and
graduate classes, including Bayesian statistics, statistical methods, and statistical computing.